288 pp. per issue
6 x 9, illustrated
2014 Impact factor:

Neural Computation


Terrence J. Sejnowski, Editor-in-Chief

Neural Computation disseminates important, multidisciplinary research in a field that attracts psychologists, physicists, computer scientists, neuroscientists, and artificial intelligence investigators, among others.

Table of Contents

Vol. 21, Issue 4 - April 2009


Spiking Neurons Can Learn to Solve Information Bottleneck Problems and Extract Independent Components
pp. 911-959
Abstract | PDF (1.04 MB)
Measure of Correlation Orthogonal to Change in Firing Rate
pp. 960-972
Abstract | PDF (116.43 KB)
Determining Burst Firing Time Distributions from Multiple Spike Trains
pp. 973-990
Abstract | PDF (3.2 MB)
Wide-Band Information Transmission at the Calyx of Held
pp. 991-1017
Abstract | PDF (423.68 KB)
Chemosensor-Driven Artificial Antennal Lobe Transient Dynamics Enable Fast Recognition and Working Memory
pp. 1018-1037
Abstract | PDF (897.2 KB)
Recurrent Infomax Generates Cell Assemblies, Neuronal Avalanches, and Simple Cell-Like Selectivity
pp. 1038-1067
Abstract | PDF (4.5 MB)
Accelerating Event-Driven Simulation of Spiking Neurons with Multiple Synaptic Time Constants
pp. 1068-1099
Abstract | PDF (283.28 KB)
Delays and Oscillations in Networks of Spiking Neurons: A Two-Timescale Analysis
pp. 1100-1124
Abstract | PDF (319.45 KB)
Stability of Localized Patterns in Neural Fields
pp. 1125-1144
Abstract | PDF (737.07 KB)
Bayesian k-Means as a “Maximization-Expectation” Algorithm
pp. 1145-1172
Abstract | PDF (390.53 KB)
On the Asymptotic Equivalence Between Differential Hebbian and Temporal Difference Learning
pp. 1173-1202
Abstract | PDF (1.62 MB)